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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-ai-practitioner-aif-c01-by-jairo-pirona/
课程评论：没有评论
课程名称：[NEW] AWS Certified AI Practitioner AIF-C01 课程概述： 本课程旨在让学员了解人工智能（AI）和机器学习（ML）的未来，特别是如何利用AWS的先进服务应用这些技术。课程主要为准备AWS Certified AI Practitioner考试的学员设计，重点教授人工智能和机器学习的基础知识，以便在实际应用中理解、实施和利用AI解决方案。课程内容包括重要概念、实际案例以及使用生成性AI等先进技术的最佳实践，同时强调负责任和安全地应用AI的重要性。 课程特点： 这不是一个枯燥的语音和幻灯片课程，而是以互动和参与的方式呈现内容，确保学员能更好地理解和保持兴趣。可以查看免费的课程视频以体验不同的教学风格。 学习内容： 1. **人工智能和机器学习的基础**：了解神经网络、计算机视觉和自然语言处理（NLP）的基本概念，识别何时适合使用这些技术。 2. **生成性人工智能**：探讨生成性AI如何基于现有数据生成新的内容，如文本、图像和音频，并展示其在创意内容生成、软件开发等多领域的实际应用。 3. **基础模型与微调**：学习如何选择适合不同场景的预训练模型，以及如何通过微调优化模型性能并根据特定用例进行定制。 4. **负责任的人工智能**：理解AI的伦理原则，包括透明性、隐私和偏倚缓解，以及AWS提供的安全和责任标准遵循工具。 5. **AI解决方案的安全性、合规性与治理**：学习如何实施AI解决方案的治理和安全策略，确保系统符合监管和最佳实践标准，包括安全处理数据和保护模型免受潜在漏洞的影响。 课程内容与领域分布： 该课程与AWS Certified AI Practitioner考试的五个关键领域相一致，以帮助学员打下坚实的基础。这些领域的内容分布如下： - 域1：AI和ML基础（20%） - 域2：生成性AI基础（24%） - 域3：基础模型的应用（28%） - 域4：负责任AI的指南（14%） - 域5：AI解决方案的安全、合规性和治理（14%） 适合人群： 本课程适合希望了解AWS人工智能和机器学习基本原则的任何人，无需具备编程或高级数学的专业知识，课程内容从基础概念到高级应用均有覆盖，适合以下人员： - 希望进入人工智能领域的专业人士 - 想在AWS上实施AI解决方案的开发者 - 希望将AI整合到项目中的商业领导者 - 有意参加AWS Certified AI Practitioner考试的候选人 课程前提： 无须具备人工智能或机器学习的技术知识，但对AWS服务和云计算概念有基本了解将帮助更好地掌握课程内容。
Discover the future of Artificial Intelligence (AI) and Machine Learning (ML) with AWS. In this course, designed for the AWS Certified AI Practitioner exam, you will learn the fundamentals of artificial intelligence, machine learning, and deep learning, applied through AWS's advanced services. This course is focused on equipping you with the tools needed to understand, implement, and leverage AI solutions in the real world.Throughout the modules, you will explore essential concepts, practical use cases, and best practices for working with advanced technologies like generative AI. Additionally, we will delve into the importance of applying AI responsibly and securely, following industry standards.This is NOT a boring course of voice and PowerPoint lectures. Here I will discuss and present the material in an interactive and engaging style that will keep you interested and make it easier to understand. Check out the free videos available and you will see the difference!What will you learn?Fundamentals of Artificial Intelligence and Machine Learning (ML)You will understand the basics of AI and ML, including neural networks, computer vision, and natural language processing (NLP). We will examine the key differences between artificial intelligence, machine learning, and deep learning, and learn how to identify when it's appropriate to apply these technologies.Generative Artificial IntelligenceYou will discover how generative AI can create new content, such as text, images, and audio, from existing data. We'll see examples of generative models and their practical applications across industries, such as creative content generation, software development, and much more.Foundation Models and Fine-TuningYou will learn about pre-trained models and how to choose the right one for different scenarios. Additionally, you will explore fine-tuning techniques to optimize model performance and how to customize them for specific use cases.Responsible Artificial IntelligenceYou will understand the ethical principles of AI, including transparency, privacy, and bias mitigation. This module will also cover the tools AWS offers to ensure models are secure, explainable, and adhere to responsibility standards.Security, Compliance, and Governance for AI SolutionsYou will learn how to implement governance and security strategies for AI solutions, ensuring systems meet regulatory and best practice standards. This includes handling data securely and protecting models from potential vulnerabilities.Course Contents and Domain DistributionThe course is aligned with the five key domains of the AWS Certified AI Practitioner exam, providing a solid foundation to help you achieve certification. These domains are distributed as follows:Domain 1: Fundamentals of AI and ML (20% of scored content)Domain 2: Fundamentals of Generative AI (24% of scored content)Domain 3: Applications of Foundation Models (28% of scored content)Domain 4: Guidelines for Responsible AI (14% of scored content)Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)Who is this course for?This course is designed for anyone looking to gain a solid understanding of the principles of artificial intelligence and machine learning with AWS. You don't need to be an expert in programming or advanced mathematics; the course covers everything from basic concepts to more advanced applications, all in an accessible way. It is ideal for:Professionals seeking to enter the field of artificial intelligenceDevelopers looking to implement AI solutions on AWSBusiness leaders who want to integrate AI into their projectsCandidates for the AWS Certified AI Practitioner examPrerequisitesNo prior technical knowledge in AI or machine learning is required, but basic familiarity with AWS services and cloud computing concepts will help you get the most out of the course content.
